Papers
15,874 papers found
Function-on-Function Bayesian Optimization
Jingru Huang, Haijie Xu, Manrui Jiang et al.
CANVAS: A Benchmark for Vision-Language Models on Tool-Based User Interface Design
Daeheon Jeong, Seoyeon Byun, Kihoon Son et al.
Multi-agent In-context Coordination via Decentralized Memory Retrieval
Tao Jiang, Zichuan Lin, Lihe Li et al.
Step-by-step Layered Design Generation
Faizan Farooq Khan, Joseph K J, Koustava Goswami et al.
Cliqueformer: Model-Based Optimization with Structured Transformers
Jakub Grudzien Kuba, Pieter Abbeel, Sergey Levine
Tab-PET: Graph-Based Positional Encodings for Tabular Transformers
Yunze Leng, Rohan Ghosh, Mehul Motani
DANS-KGC: Diffusion Based Adaptive Negative Sampling for Knowledge Graph Completion
Haoning Li, Qinghua Huang
Permutation Equivariant Framelet-based Hypergraph Neural Networks
Ming Li, Yi Wang, Chengling Gao et al.
Counterfactual-based Cognitive Alignment In-Context Learning for Relation Extraction
Qibin Li, Shengyuan Bai, Nai Zhou et al.
AIM: Manifold-based Data Filtering for Representation Finetuning
Qing Li, Qibin Zheng, Yi Liu et al.
MIDILM: A Dual-Path Model for Controllable Text-to-MIDI Generation
Shuyu Li, Dooho Choi, Yunsick Sung
Distribution-Based Feature Attribution for Explaining the Predictions of Any Classifier
Xinpeng Li, Kai Ming Ting
Direction Sensitivity–Based Knowledge Distillation: Optimization-Aware Low-Rank Knowledge Transfer
Yongkai Liao, Xinxing Chen, Zhongzheng Fu et al.
RMAdapter: Reconstruction-based Multi-Modal Adapter for Vision-Language Models
Xiang Lin, Weixin Li, Shu Guo et al.
TRUST: Leveraging Text Robustness for Unsupervised Domain Adaptation
Mattia Litrico, Mario Valerio Giuffrida, Sebastiano Battiato et al.
Sample Weighted Incomplete Multimodal Clustering Based on Graph Coarsening Label Extraction
Zhenjiao Liu, Xue Xiao, Yao Chen et al.
GraphTextack: A Realistic Black-Box Node Injection Attack on LLM-Enhanced GNNs
Jiaji Ma, Puja Trivedi, Danai Koutra
LLM-Enhanced Energy Contrastive Learning for Out-of-Distribution Detection in Text-Attributed Graphs
Xiaoxu Ma, Dong Li, Minglai Shao et al.
Fair Model-based Clustering
Jinwon Park, Kunwoong Kim, Jihu Lee et al.
Online Multi-LLM Selection via Contextual Bandits Under Unstructured Context Evolution
Manhin Poon, Xiangxiang Dai, Xutong Liu et al.
CR³: Boosting Compositional Reasoning in MLLMs Through Rule-Based Reinforcement Learning
Shun Qian, Bingquan Liu, Chengjie Sun et al.
Formal Abductive Latent Explanations for Prototype-Based Networks
Jules Soria, Zakaria Chihani, Julien Girard-Satabin et al.
SFedHIFI: Fire Rate-Based Heterogeneous Information Fusion for Spiking Federated Learning
Ran Tao, Qiugang Zhan, Shantian Yang et al.
Guided Perturbation Sensitivity (GPS): Detecting Adversarial Text via Embedding Stability and Word Importance
Bryan E. Tuck, Rakesh M. Verma
Retriever Encoder Selection Matters for In-Context Learning-based Medical Segmentation
Fan Wang, Zhongyi Han, Yongshun Gong et al.